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首页> 外文期刊>Occupational medicine >The burden of sickness absence from musculoskeletal causes in Great Britain.
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The burden of sickness absence from musculoskeletal causes in Great Britain.

机译:在英国,由于肌肉骨骼原因导致的疾病负担不大。

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BACKGROUND: National initiatives to prevent and/or manage sickness absence require a database from which trends can be monitored. AIMS: To evaluate the information provided by surveillance schemes and publicly available data sets on sickness absence nationally from musculoskeletal disorders (MSDs). METHODS: A grey literature search was undertaken using the search engine Google, supplemented by leads from consultees from academia, industry, employers, lay interest groups and government. We abstracted data on the outcomes and populations covered and made quantitative estimates of MSD-related sickness absence, overall and, where distinguishable, by subdiagnosis. The coverage and limitations of each source were evaluated. RESULTS: Sources included the Labour Force Survey (LFS) and its Self-reported Work-related Illness survey module, the THOR-GP surveillance scheme, surveys by national and local government, surveys by employers' organizations and a database of benefit statistics. Each highlighted MSDs as a leading cause of sickness absence. Data limitations varied by source, but typically included lack of diagnostic detail and restriction of focus to selected subgroups (e.g. work-ascribed or benefit-awarded cases, specific employment sectors). Additionally, some surveys had very low response rates, were completed only by proxy respondents or ranked only the perceived importance of MSD-related sickness absence, rather than measuring it. CONCLUSIONS: National statistics on MSD-related sickness absence are piecemeal and incomplete. This limits capacity to plan and monitor national policies in an important area of public health. Simple low-cost additions to the LFS would improve the situation.
机译:背景:预防和/或管理疾病缺席的国家举措需要一个数据库,可以从中监控趋势。目的:评价监测方案提供的信息以及有关全国性骨骼肌疾病(MSD)疾病缺席的公开数据集。方法:使用Google搜索引擎进行了灰色文献搜索,并辅以来自学术界,行业,雇主,非营利组织和政府的被咨询者的线索。我们提取了有关结局和所覆盖人群的数据,并对MSD相关疾病的总体,以及在亚诊断下可区分的情况进行了定量估计。评估了每个来源的覆盖范围和局限性。结果:资料来源包括劳动力调查(LFS)及其与工作相关的自我报告疾病调查模块,THOR-GP监测计划,国家和地方政府的调查,雇主组织的调查以及福利统计数据库。每个都强调了MSD是导致疾病缺席的主要原因。数据限制因来源而异,但通常包括缺乏诊断详细信息以及将重点限制在选定的子组(例如,工作分配或福利授予的情况,特定的就业部门)。此外,一些调查的答复率非常低,仅由代理受访者完成或仅对感知到的与MSD相关的疾病缺席的重要性进行排名,而不是对其进行衡量。结论:关于MSD相关疾病缺席的国家统计数据是零散的和不完整的。这限制了在重要的公共卫生领域规划和监督国家政策的能力。对LFS进行简单的低成本添加将改善这种情况。

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